| 基于GA遗传算法的ARMA模型的辨识方法 |
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| 引用本文： | 陈丹,方康玲,陈乔礼.基于GA遗传算法的ARMA模型的辨识方法[J].武汉科技大学学报(自然科学版),2007,30(1):87-89. |
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| 作者姓名： | 陈丹 方康玲 陈乔礼 |
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| 作者单位： | 武汉科技大学信息科学与工程学院,湖北,武汉,430081 |
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| 摘 要： | 提出一种基于浮点数编码遗传算法的系统辨识方法,融合和改进了一些遗传操作,并把该方法应用于有噪声背景下的ARMA模型参数的辨识。实验表明,该方法可有效地克服噪声干扰,可获得系统参数的无偏估计。
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| 关 键 词： | 系统辨识 遗传算法 ARMA模型 |
| 文章编号： | 1672-3090(2007)01-0087-03 |
| 修稿时间： | 2006-09-06 |
A system identification method based on genetic algorithm |
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| Chen Dan,Fang Kangling,Chen Qiaoli.A system identification method based on genetic algorithm[J].Journal of Wuhan University of Science and Technology(Natural Science Edition),2007,30(1):87-89. |
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| Authors: | Chen Dan Fang Kangling Chen Qiaoli |
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| Institution: | College of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China |
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| Abstract: | In this paper,a system identification method based on float-encoding genetic algorithms is introduced,and some genetic operations are combined and improved with the method.The method is applied to the identification of the ARMA model under noisy background.Several tests show that the method can overcome the disturbance of noise effectively,and the unbiased parameter estimates of the system can be obtained. |
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| Keywords: | system identification genetic algorithm ARMA model |
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